Develop and optimize an autonomous software stack for redundant on-vehicle platforms, focusing on fault detection, validation strategies, and performance optimization.
Plus is a global provider of highly automated driving and fully autonomous driving solutions with headquarters in Silicon Valley, California. Named by Forbes as one of America’s Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus’s open autonomy technology platform is already powering vehicles in commercial use today. Working with one of the largest companies in the U.S., vehicle manufacturers, and others globally, Plus is helping to make driving safer, more comfortable, and more sustainable. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from Fast Company, Forbes, Insider, Consumer Electronics Show, AUVSI, and others. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.
Responsibilities:
- Work closely with our autonomy and runtime teams to improve our redundant on-vehicle platform and autonomous software stack.
- Develop perspectives on where opportunities and gaps might be in our redundant software and hardware strategy with a longer-term horizon in mindIntegrate and optimize performance and robustness of different autonomous software component into redundant on-vehicle platform.
- Design and develop fault detection and fault handling strategies for redundant on-vehicle platform.
- Design and develop validation strategies for redundant on-vehicle platform, including on vehicle testing, Sil and HiL simulation testing.
- Evaluate, integrate and optimize partner middleware into our AD stackOwns or help with driverless operation key features, like mission control, tele assist, etc.
Required Skills:
- Minimum 5+ years of professional experience
- MS or PhD in Computer Science or related field
- Strong programming skills in C++ and Python
- Basic understanding of computer vision and deep learning models
- Hands-on experience of high performance IPC / middleware stack
- Strong analytical skills, especially for performance troubleshooting (e.g. profiling, roofline model)Familiarity with CUDA, OpenCL, OpenVX, Halide or other SIMD programming models.
- Ability to quickly learn and adapt to new technology
- Ability to work on large code bases and a fast growing environment
- Strong communication skills
- Familiar with Linux system and basic kernel tuning, network tuning, device tree tuning, timesync, etc.
- Comfortable with On-vehicle troubleshooting and performance profiling
Preferred Skills
- Experience with CV pipeline and model inference on edge platforms
- Experience with ROS2 and DDS
- Experience with automotive HPC SoCs (Nvidia preferred)
- Experience with QNX
Your opportunities joining Plus
Work, learn and grow in a highly future-oriented, innovative and dynamic field.
Wide range of opportunities for personal and professional development.
Catered free lunch, unlimited snacks and beverages.
Highly competitive salary and benefits package, including 401(k) plan.
Top Skills
C++
Cuda
Halide
Linux
Opencl
Openvx
Python
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